{"id":"W2772224879","doi":"","title":"Effects of community population density and distance to Canadian Hockey League teams on the production of National Hockey League draftees in Canadian provinces","year":2017,"lang":"en","type":"article","venue":"","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Ontario Tech University","funders":"","keywords":"League; Elite; Population; Athletes; Geography; Production (economics); Demography; Socioeconomics; Political science; Sociology; Economics; Medicine; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008887046,0.0004452367,0.0004632165,0.002125776,0.002352308,0.001431012,0.001527627,0.0002826694,0.003931387],"category_scores_gemma":[0.003651916,0.0003232457,0.0008521448,0.003252386,0.001080212,0.00038461,0.001317196,0.0005106248,0.0002598371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02034646,"about_ca_system_score_gemma":0.02429884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942734,"about_ca_topic_score_gemma":0.9974508,"domain_scores_codex":[0.9986796,0.0001091913,0.00006647006,0.0002724623,0.0004755136,0.0003967923],"domain_scores_gemma":[0.9974818,0.0002040607,0.0004527569,0.00009745952,0.001154728,0.0006091475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001268682,0.00002155565,0.9859665,0.00008611462,0.0001138068,0.000153619,0.001797406,0.0003972467,0.0002667482,0.0002758994,0.001996055,0.008798225],"study_design_scores_gemma":[0.000002810413,0.00001206352,0.9964641,0.00003811058,0.00002246803,0.0000278605,0.002103986,0.0002103305,0.00003440769,0.0000166556,0.001057678,0.000009537545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985396,0.001689875,0.0003296282,0.0005011075,0.00003942405,0.00004566963,0.005280383,0.0000278908,0.00668999],"genre_scores_gemma":[0.996714,0.0004635532,0.0002627389,0.00003240708,0.000004928741,0.00001325907,0.001137082,0.000008263515,0.001363896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02034646,"threshold_uncertainty_score":0.1476246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200986190388107,"score_gpt":0.2943215253641751,"score_spread":0.272311663460294,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}